High-Level Project Summary
The Summary of our Idea is to load all the data into our program. Extract and transform all the information into human-readable form as well as in the memory of the program, then it extracts the information from all the data, moreover, we generate the statistical reports from it. With this approach, anyone who applies a glance at the report and the information we grasp from it is also stored in memory for future use in any computational system. It is important because any scientist would easily get comprehension and an idea about any research in the given data. It is also very helpful for every new researcher by just running this system.
Link to Final Project
Link to Project "Demo"
Detailed Project Description
This is a CLI (command line interface ) app.
As we all know NASA has a tremendous amount of data that expands rapidly day by day and that makes it very difficult for a researcher to work on any project while he has to start from scratch. To save their time and minimize their efforts we have designed an application that can read and give the core idea of the very huge amount of data in a concise way making it a very easy and understandable format. To design this whole concept we have taken the help of Jupyter notebook, python, Microsoft word, National Language processing, NTRS PDFs (Provided by NASA), and GitHub to make the project.
Space Agency Data
We used the Data of Nasa Technical Report Server (NTSR) which includes the data of STI
Scientific Technical Information (STI). It gives great exposure to us by getting a chance to work on Big Data, which we heard it only till now.
Hackathon Journey
We were expecting such a great experience from NASA but when we arrive and experienced the event it was not as exciting as we think it was. But it's a great experience connecting with the technical individuals and experiencing NASA's data. We expect such types of events should take place again and again and it was a great experience connecting with people and individuals from NASA.
References
https://www.spaceappschallenge.org/
https://sti.nasa.gov/docs/STI_Open_API_Documentation_20210426.pdf
https://ntrs.nasa.gov/
Tags
#NLP #Python #AI #Solution #PDF2Py #SpacePreservation #legacy